Dataset: ESA Fire Climate Change Initiative (Fire_cci): Sentinel-3 SYN Burned Area Grid product, version 1.0#

Dataset identifier: esacci.FIRE.mon.L4.BA.multi-sensor.multi-platform.SYN.v1-0.grid
Data store: cciodp

How to open this dataset in AVL JupyterLab  

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.FIRE.mon.L4.BA.multi-sensor.multi-platform.SYN.v1-0.grid')

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) -180.0 to 180.0
Bounding box latitude (°) -90.0 to 90.0
Time range 2019-01-01 to 2019-12-31
Time period 1M

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Variable Long name Units
burned_area total burned_area m2
standard_error standard error of the estimation of burned area m2
fraction_of_burnable_area fraction of burnable area 1
fraction_of_observed_area fraction of observed area 1
burned_area_in_vegetation_class burned area in vegetation class m2

Full variable metadata#

burned_area#

Field Value
units m2
standard_name burned_area
long_name total burned_area
valid_range 0.0, 769314620.0
cell_methods time: sum
orig_data_type float32
fill_value None
size 12441600
shape 12, 720, 1440
chunk_sizes 1, 45, 1440
file_chunk_sizes 1, 45, 1440
data_type float32
dimensions time, lat, lon
file_dimensions time, lat, lon

standard_error#

Field Value
units m2
long_name standard error of the estimation of burned area
valid_range 0.0, 769314620.0
orig_data_type float32
fill_value None
size 12441600
shape 12, 720, 1440
chunk_sizes 1, 45, 1440
file_chunk_sizes 1, 45, 1440
data_type float32
dimensions time, lat, lon
file_dimensions time, lat, lon

fraction_of_burnable_area#

Field Value
units 1
long_name fraction of burnable area
comment The fraction of burnable area is the fraction of the cell that corresponds to vegetated land covers that could burn. The land cover classes are those from C3S Land Cover, https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview
valid_range 0.0, 1.0
orig_data_type float32
fill_value None
size 12441600
shape 12, 720, 1440
chunk_sizes 1, 45, 1440
file_chunk_sizes 1, 45, 1440
data_type float32
dimensions time, lat, lon
file_dimensions time, lat, lon

fraction_of_observed_area#

Field Value
units 1
long_name fraction of observed area
comment The fraction of observed area is the fraction of the total burnable area in the cell (fraction_of_burnable_area variable of this file) that was observed during the time interval, and was not marked as unsuitable/not observable. The latter refers to the area where it was not possible to obtain observational burned area information for the whole time interval because of the lack of input data (non-existing data for that location and period).
valid_range 0.0, 1.0
orig_data_type float32
fill_value None
size 12441600
shape 12, 720, 1440
chunk_sizes 1, 45, 1440
file_chunk_sizes 1, 45, 1440
data_type float32
dimensions time, lat, lon
file_dimensions time, lat, lon

burned_area_in_vegetation_class#

Field Value
units m2
long_name burned area in vegetation class
cell_methods time: sum
comment Burned area by land cover classes; land cover classes are from C3S Land Cover, https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview
valid_range 0.0, 769314620.0
orig_data_type float32
fill_value None
size 223948800
shape 12, 18, 720, 1440
chunk_sizes 1, 1, 45, 1440
file_chunk_sizes 1, 1, 45, 1440
data_type float32
dimensions time, vegetation_class, lat, lon
file_dimensions time, vegetation_class, lat, lon

crs#

Field Value
wkt GEOGCS[\"WGS84(DD)\", DATUM[\"WGS84\", SPHEROID[\"WGS84\", 6378137.0, 298.257223563]], PRIMEM[\"Greenwich\", 0.0], UNIT[\"degree\", 0.017453292519943295], AXIS[\"Geodetic longitude\", EAST], AXIS[\"Geodetic latitude\", NORTH]]
i2m 0.25,0.0,0.0,-0.25,-180.0,90.0
orig_data_type int32
fill_value 9223372036854775807
size 1
shape 1
chunk_sizes 1
file_chunk_sizes 1
data_type int64
dimensions
file_dimensions

Full dataset metadata#

Field Value
title ESA Fire Climate Change Initiative (Fire_cci): Sentinel-3 SYN Burned Area Grid product, version 1.0
source Sentinel-3 Synergy (SYN) product, derived from OLCI+SLSTR Surface Reflectance, VIIRS VNP14IMGML thermal anomalies, C3S Land Cover dataset v2.1.1
history Created on 2022-03-01 17:20:37
references See https://climate.esa.int/en/projects/fire/
product_version v1-0
comment These data were produced as part of the Climate Change Initiative Programme, Fire Disturbance ECV.
project Climate Change Initiative - European Space Agency
ecv FIRE
institute University of Alcala
processing_level L4
product_string SYN
data_type BA
abstract The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The Sentinel-3 SYN Fire_cci v1.0 grid product described here contains gridded data on global burned area derived from surface reflectance data from the OLCI and SLSTR instruments (combined as the Synergy (SYN) product) onboard the Sentinel-3 A&B satellites, complemented by VIIRS thermal information. This product, called FireCCIS310 for short, is currently available for 2019, but it is foreseen to be extended for additional years. This gridded dataset has been derived from the FireCCIS310 pixel product (also available) by summarising its burned area information into a regular grid covering the Earth at 0.25 x 0.25 degrees resolution and at monthly temporal resolution. Information on burned area is included in 22 individual quantities: sum of burned area, standard error, fraction of burnable area, fraction of observed area, and the burned area for 18 land cover classes, as defined by the Copernicus Climate Change Initiative(C3S) Land Cover v2.1.1 product. For further information on the product and its format see the Product User Guide in the linked documentation.
publication_date 2022-04-19T15:17:55
uuid 3aaaaf94813e48f18f2b83242a8dacbe
catalog_url https://catalogue.ceda.ac.uk/uuid/3aaaaf94813e48f18f2b83242a8dacbe
sensor_id multi-sensor
platform_id multi-platform
cci_project FIRE